Abstract
The superposed epoch analysis (SEA) method is a traditional extraction method for the solar quiet daily variation (Sq) and obtains the monthly Sq by the averages of the data on the international five quietest days (five Q-days) in one month. This study tried to optimize this method through two technical measures, increasing the number of calculation days and moving the calculation period day by day. To test the effectiveness of the new method, the observatory data were decomposed into Sq components and non-Sq components by the characteristic of Sq varying with local time (LT). The observatory data were reconstructed by correcting the Sq components for time differences. Then, the two Sq extraction methods were evaluated based on the correlation coefficient and mean square error (MSE) of the difference between the reconstructed data and the reference observatory data. Comparison with the traditional method showed that the correlation coefficients for the three factors H, D, and Z were improved by 0.0142, 0.0017, and 0.0235, and MSEs were improved by 0.24 nT, 0.03´, and 0.17 nT, respectively, indicating that the Sq results are more reasonable.
Similar content being viewed by others
REFERENCES
Akasofu, S.I., Ahn, B.H., and Romick, G.J., A study of the polar current systems using the IMS meridian chains of magnetometers. I. Alaska meridian chain, Space Sci. Rev., 1983, vol. 36, no. 4, pp. 337–413. https://doi.org/10.1007/BF00204553
Brown, G.M. and Williams, W.R., Some properties of the day-to-day variability of Sq(H), Planet. Space Sci., 1969, vol. 17, no. 3, pp. 455–470. https://doi.org/10.1016/0032-0633(69)90076-2
Campbell, W.H., The regular geomagnetic field variations during quiet solar conditions, Geomagnetism, 1989, vol. 3, pp. 385–460.
Chapman, S. and Bartels, J., Geomagnetism, Oxford: Clarendon Press, 1940.
Chen, H., Du, A., and Wang, Y., D Yang, and Wang, J., A preliminary study on the relation between the geomagnetic “lowest shift” phenomenon and the equivalent current system, Acta Seismol. Sin., 2009, vol. 1, pp. 61–69.
Chen, G., Du, A., Zhang, Y., and Zhao, X., Kalman filter technique for defining solar regular geomagnetic variations, Prog. Geophys., 2017, vol. 32, no. 5, pp. 1880–1885. https://doi.org/10.1029/2010JA016343
Ding, J., Suo, Y., Yu, S., and Xiao, W., Comparison study on short-term anomalies of ionosphere and geomagnetic field before Kunlunshan MS 8.1 earthquake, Earthquake, 2004, vol. 24, no. 1, pp. 104–111. https://doi.org/10.1007/BF02873097
Ferguson, J., Multivariable curve interpolation, J. ACM, 1964, vol. 11, no. 2, pp. 221–228. https://doi.org/10.1145/321217.321225
He, C., Long, W., and Zhu, F., Probability Theory and Mathematical Statistics, Beijing: Higher Education Press, 2012.
Hibberd, F.H., Day to day variability of Sq geomagnetic field variation, Aust. J. Phys., 1981, vol. 34, no. 1, pp. 81–90. https://doi.org/10.1071/PH810081
Matsushita, S., Solar quiet and lunar daily variation fields, Int. Geophys., 1967, vol. 11, pp. 301–424.
Menvielle, M., Papitashvili, N., Hakkinen, L., and Sucksdorff, C., Computer production of Kindices: Review and comparison of methods, Geophys. J. R. Astron. Soc., 2010, vol. 123, no. 3, pp. 866–886.https://doi.org/10.1111/j.1365-246X.1995.tb06895.x
Pirjola, R., Ryno, J., and Sucksdorff, C., Computer production of K-indices by a simple method based on linear elimination, in Proceedings of the International Workshop on Geomagnetic Observatory Data Acquisition and Processing, 1990, pp. 136–146. https://doi.org/10.1111/j.1365-246X.1995.tb06895.x.
Qi, G., A Method for the analysis of geomagnetic daily variation in a local area and the longitudinal effect of the S_(Q)-field in China, Chin. J. Geophys., 1975, vol. 18, no. 2, pp. 104–117.
Takahashi, K., Toth, B. A ., and Olson, J. V., An automated procedure for near-real-time Kp estimates, J. Geophys. Res.: Space Phys., 2001, vol. 106, no. A10, pp. 21017–21032. https://doi.org/10.1111/10.1029/2000ja000218
Wang, J., Yang, D., Zhang, S., and Zhu, R., Research on the distribution of geomagnetic daily variation along some station chains in China, J. Seismol. Res., 2010, vol. 33, no. 4, pp. 329–336. https://doi.org/10.3969/j.issn.1000-0666.2010.04.013
Xu, W., Stability of spatial structure of the large-scale ionospheric current system at middle and low latitudes, Chin. J. Geophys., 1990, vol. 33, no. 5, pp. 497–504.
Xu, W., Physics of Electromagnetic Phenomena of the Earth, HeFei: University of Science and Technology of China Press, 2009.
Xu, W. and Kamide, Y., Decomposition of daily geomagnetic variations by using method of natural orthogonal component, J. Geophys. Res.: Space Phys., 2004, vol. 109, no. A5. https://doi.org/10.1029/2003JA010216
Funding
This work was Supported by Hebei Province Spark Program of Earthquake Sciences (DZ20190422046). We thank the China Earthquake Administration and Hebei Earthquake Agency for their support.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
The authors declare that they have no conflicts of interest.
Rights and permissions
About this article
Cite this article
Shupeng Su, Zhang, H. & Zhao, H. Moving Superposition Method for Sq Extraction and the Effectiveness Evaluation. Geomagn. Aeron. 62, 657–662 (2022). https://doi.org/10.1134/S0016793222050139
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S0016793222050139